Insights APIs
Envestnet | Yodlee Financial Insights APIs provide personalized and actionable insights to end users/consumers. The APIs allow complete control - Financial Institutions can easily configure things like which insights their consumers receive, how often they receive insights, and what kinds of activity triggers insights. The APIs also provide the ability for consumers to customize insights further by overriding default settings with personal preferences for each insight.
Features
Data-Driven and Predictive Insights
Insights are derived from users’ financial data, enriched by Yodlee's proprietary data enrichment and predictive analytics capabilities.
Flexible Implementation
Insights are delivered through APIs, making it easy to consume and display insights in your product experiences.
Exhaustive Insights Library
With an extensive, ever-expanding library of insights that cover a range of financial use cases, there is an insight for all your users.
A few examples from our ever-expanding library of 70+ insights:
Peer Benchmarking
Elevate the financial insights delivered to your users by helping them compare their spending anonymously with their peers spending. Using Yodlee's proprietary data models, views provide peer benchmarks across segmentation parameters such as income range, geolocation, homeownership, and the life stage of the user. Use peer comparison information to provide additional context to your users to help them make the right financial choices.
Benefits
Benchmark user spending relative to peers
Provide users a peer comparison of their spending and saving pattern across categories and merchants with other peers who share similar income range, geolocation, homeownership, and life stage as the user.
Influence user actions/decisions
Influence user actions by offering data relative to their peers. Users who see they overspend in a category are often motivated to budget and reduce spending. For example, adjust a budgeted amount for a category based on peer spending.
Personalize product offerings
Offer personalized products to users based on the relative spending patterns in a specific category or merchant. For example, target users with comparatively high spending on travel and offer them products like co-branded credit cards.